| _ | tail | _ |
|---|
| Adaptive Class Suppression Loss for Long- | tail | Object Detection |
| Affine Equivariant Tyler's M-Estimator Applied to | tail | Parameter Learning of Elliptical Distributions |
| Analysis of Spatial-Temporal Variations and Driving Factors of Typical | tail | -Reach Wetlands in the Ili-Balkhash Basin, Central Asia |
| Boosting Long- | tail | ed Object Detection via Step-wise Learning on Smooth-tail Data |
| C2AM Loss: Chasing a Better Decision Boundary for Long- | tail | Object Detection |
| Capturing Long- | tail | Distributions of Object Subcategories |
| Chasing the | tail | in Monocular 3D Human Reconstruction With Prototype Memory |
| Combined Assimilation of Doppler Wind Lidar and | tail | Doppler Radar Data over a Hurricane Inner Core for Improved Hurricane Prediction with the NCEP Regional HWRF System |
| Combining usage and content in an online recommendation system for music in the Long | tail | |
| Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long- | tail | Visual Concepts |
| Cross-Task Multimodal Reinforcement for Long | tail | Next POI Recommendation |
| Deep super-class learning for long- | tail | distributed image classification |
| Defocus Deblur Microscopy via Head-to- | tail | Cross-Scale Fusion |
| devil in the | tail | : Cluster consolidation plus cluster adaptive balancing loss for unsupervised person re-identification, The |
| Devil Is in Classification: A Simple Framework for Long- | tail | Instance Segmentation, The |
| Distance metric-based learning for long- | tail | object detection |
| Distribution Alignment: A Unified Framework for Long- | tail | Visual Recognition |
| Distributional Robustness Loss for Long- | tail | Learning |
| dual-balanced network for long- | tail | distribution object detection, A |
| Dynamically Conservative Self-Driving Planner for Long- | tail | Cases |
| Estimating Long | tail | Models for Risk Trends |
| Exploring Long | tail | Visual Relationship Recognition with Large Vocabulary |
| Exploring the Long | tail | of Social Media Tags |
| Factors in Finetuning Deep Model for Object Detection with Long- | tail | Distribution |
| FastDraw: Addressing the Long | tail | of Lane Detection by Adapting a Sequential Prediction Network |
| FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long- | tail | Trajectory Prediction |
| From generalized zero-shot learning to long- | tail | with class descriptors |
| Generalized Wiener Estimation Algorithms Based on a Family of Heavy- | tail | Distributions |
| Head/ | tail | Breaks-Based Approach to Characterizing Space-Time Risks of COVID-19 Epidemic in China's Cities, A |
| Head/ | tail | Breaks-Based Method for Efficiently Estimating the Absolute Boltzmann Entropy of Numerical Raster Data, A |
| Improving | tail | -Class Representation with Centroid Contrastive Learning |
| Improving the Intra-class Long- | tail | in 3D Detection via Rare Example Mining |
| Joint Sparse Recovery for Signals of Spark-Level Sparsity and MMV | tail | -L_2,1 Minimization |
| Learning deep face representation with long- | tail | data: An aggregate-and-disperse approach |
| Learning of Visual Relations: The Devil is in the | tail | s |
| Learning to Segment the | tail | |
| Long | tail | of Web Video, The |
| Long- | tail | Detection with Effective Class-Margins |
| Long- | tail | Recognition via Compositional Knowledge Transfer |
| Machine vision to curb pig pugnacity: 3D cameras can help predict when pigs are about to nip each other's | tail | s |
| Making Heads or | tail | s: Towards Semantically Consistent Visual Counterfactuals |
| On Exposing the Challenging Long | tail | in Future Prediction of Traffic Actors |
| On Structural and Safety Properties of Head-to- | tail | String Stability in Mixed Platoons |
| On-line vehicle detection at nighttime-based | tail | -light pairing with saliency detection in the multi-lane intersection |
| Overcoming Classifier Imbalance for Long- | tail | Object Detection With Balanced Group Softmax |
| PDE Modeling and Tracking Control for the Flexible | tail | of an Autonomous Robotic Fish |
| ProgDTD: Progressive Learned Image Compression with Double- | tail | -Drop Training |
| Reconciling Object-Level and Global-Level Objectives for Long- | tail | Detection |
| Regions of Backprojection and Comet | tail | Artifacts for pi-Line Reconstruction Formulas in Tomography |
| RelTransformer: A Transformer-Based Long- | tail | Visual Relationship Recognition |
| Retrieval Augmented Classification for Long- | tail | Visual Recognition |
| SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long- | tail | |
| Terminal Phase Vision-Based Target Recognition and 3D Pose Estimation for a | tail | -Sitter, Vertical Takeoff and Landing Unmanned Air Vehicle |
| Towards Resolving the Challenge of Long- | tail | Distribution in UAV Images for Object Detection |
| Transfer Knowledge from Head to | tail | : Uncertainty Calibration under Long-tailed Distribution |
| Unsupervised Discovery of the Long- | tail | in Instance Segmentation Using Hierarchical Self-Supervision |
| Use Your Head: Improving Long- | tail | Video Recognition |
| Verification of the Vertical Error in C-Band SRTM DEM Using ICESat and Landsat-7, Otter | tail | County, MN |
| When Noisy Labels Meet Long | tail | Dilemmas: A Representation Calibration Method |
59 for tail